Indian Liver Patient Dataset (ILPD) report.html

Dataset statistics

Number of variables	12
Number of observations	684
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	111.7 KiB
Average record size in memory	167.3 B

Variable types

NUM	6
UNSUPPORTED	4
CAT	2

Reproduction

Analysis started	2020-07-26 14:52:10.980000
Analysis finished	2020-07-26 14:52:29.564000
Duration	18.58 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

`Id` has unique values	Unique
`TotalBilirubin` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`DirectBilirubin` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`AlkphosAlkalinePhosphotase` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`AlbuminGlobulinRatio` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Id
Real number (ℝ_≥0)

UNIQUE

Distinct count	684
Unique (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	342.5
Minimum	1
Maximum	684
Zeros	0
Zeros (%)	0.0%
Memory size	5.4 KiB

Quantile statistics

Minimum	1
5-th percentile	35.15
Q1	171.75
median	342.5
Q3	513.25
95-th percentile	649.85
Maximum	684
Range	683
Interquartile range (IQR)	341.5

Descriptive statistics

Standard deviation	197.5980769
Coefficient of variation (CV)	0.5769286917
Kurtosis	-1.2
Mean	342.5
Median Absolute Deviation (MAD)	171
Skewness	0
Sum	234270
Variance	39045

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
684	1	0.1%
225	1	0.1%
233	1	0.1%
232	1	0.1%
231	1	0.1%
230	1	0.1%
229	1	0.1%
228	1	0.1%
227	1	0.1%
226	1	0.1%
224	1	0.1%
214	1	0.1%
223	1	0.1%
222	1	0.1%
221	1	0.1%
220	1	0.1%
219	1	0.1%
218	1	0.1%
217	1	0.1%
216	1	0.1%
234	1	0.1%
235	1	0.1%
236	1	0.1%
237	1	0.1%
254	1	0.1%
Other values (659)	659	96.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
684	1	0.1%
683	1	0.1%
682	1	0.1%
681	1	0.1%
680	1	0.1%
679	1	0.1%
678	1	0.1%
677	1	0.1%
676	1	0.1%
675	1	0.1%

Age
Real number (ℝ_≥0)

Distinct count	72
Unique (%)	10.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	45.099415204678365
Minimum	4
Maximum	90
Zeros	0
Zeros (%)	0.0%
Memory size	5.4 KiB

Quantile statistics

Minimum	4
5-th percentile	18
Q1	33
median	45
Q3	58
95-th percentile	72
Maximum	90
Range	86
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	16.30758699
Coefficient of variation (CV)	0.3615919834
Kurtosis	-0.5891489782
Mean	45.0994152
Median Absolute Deviation (MAD)	13
Skewness	-0.03254672964
Sum	30848
Variance	265.9373935

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
60	41	6.0%
45	27	3.9%
38	26	3.8%
42	24	3.5%
50	24	3.5%
48	22	3.2%
32	22	3.2%
40	21	3.1%
58	20	2.9%
55	20	2.9%
33	18	2.6%
65	18	2.6%
46	18	2.6%
75	17	2.5%
26	15	2.2%
18	14	2.0%
51	13	1.9%
35	13	1.9%
57	13	1.9%
62	13	1.9%
66	13	1.9%
34	12	1.8%
49	12	1.8%
30	11	1.6%
36	11	1.6%
Other values (47)	226	33.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	2	0.3%
6	1	0.1%
7	2	0.3%
8	1	0.1%
10	1	0.1%
11	1	0.1%
12	2	0.3%
13	5	0.7%
14	3	0.4%
15	1	0.1%

Value	Count	Frequency (%)
90	1	0.1%
85	2	0.3%
84	2	0.3%
78	1	0.1%
75	17	2.5%
74	5	0.7%
73	2	0.3%
72	10	1.5%
70	10	1.5%
69	2	0.3%

Gender
Categorical

Distinct count	2
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	2.7 KiB

Male	518
Female	166

Value	Count	Frequency (%)
Male	518	75.7%
Female	166	24.3%

Length

Max length	6
Median length	4
Mean length	4.485380117
Min length	4

Overview of Unicode Properties

Unique unicode characters	6
Unique unicode categories (?)	2
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	850	27.7%
a	684	22.3%
l	684	22.3%
M	518	16.9%
F	166	5.4%
m	166	5.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2384	77.7%
Uppercase Letter	684	22.3%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	518	75.7%
F	166	24.3%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	850	35.7%
a	684	28.7%
l	684	28.7%
m	166	7.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3068	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
e	850	27.7%
a	684	22.3%
l	684	22.3%
M	518	16.9%
F	166	5.4%
m	166	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3068	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	850	27.7%
a	684	22.3%
l	684	22.3%
M	518	16.9%
F	166	5.4%
m	166	5.4%

TotalBilirubin
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

DirectBilirubin
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

AlkphosAlkalinePhosphotase
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	12.2 KiB

SgptAlamineAminotransferase
Real number (ℝ_≥0)

Distinct count	152
Unique (%)	22.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	86.59356725146199
Minimum	10
Maximum	2000
Zeros	0
Zeros (%)	0.0%
Memory size	5.4 KiB

Quantile statistics

Minimum	10
5-th percentile	15
Q1	23
median	36
Q3	62
95-th percentile	308
Maximum	2000
Range	1990
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	196.577834
Coefficient of variation (CV)	2.270120521
Kurtosis	43.21768505
Mean	86.59356725
Median Absolute Deviation (MAD)	16
Skewness	6.115990795
Sum	59230
Variance	38642.84482

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
25	28	4.1%
20	27	3.9%
22	22	3.2%
21	19	2.8%
28	18	2.6%
18	18	2.6%
48	16	2.3%
15	16	2.3%
31	15	2.2%
30	15	2.2%
24	15	2.2%
27	13	1.9%
33	13	1.9%
32	12	1.8%
29	12	1.8%
36	12	1.8%
26	11	1.6%
14	11	1.6%
42	11	1.6%
12	11	1.6%
35	11	1.6%
37	11	1.6%
16	11	1.6%
38	10	1.5%
40	10	1.5%
Other values (127)	316	46.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	4	0.6%
11	2	0.3%
12	11	1.6%
13	5	0.7%
14	11	1.6%
15	16	2.3%
16	11	1.6%
17	10	1.5%
18	18	2.6%
19	8	1.2%

Value	Count	Frequency (%)
2000	1	0.1%
1680	2	0.3%
1630	2	0.3%
1350	1	0.1%
1250	2	0.3%
950	1	0.1%
875	4	0.6%
790	1	0.1%
779	1	0.1%
622	1	0.1%

SgotAspartateAminotransferase
Real number (ℝ_≥0)

Distinct count	177
Unique (%)	25.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	116.1798245614035
Minimum	10
Maximum	4929
Zeros	0
Zeros (%)	0.0%
Memory size	5.4 KiB

Quantile statistics

Minimum	10
5-th percentile	15
Q1	25
median	43
Q3	88.25
95-th percentile	499.55
Maximum	4929
Range	4919
Interquartile range (IQR)	63.25

Descriptive statistics

Standard deviation	281.9611483
Coefficient of variation (CV)	2.426937287
Kurtosis	141.0984284
Mean	116.1798246
Median Absolute Deviation (MAD)	22
Skewness	9.831824802
Sum	79467
Variance	79502.08914

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
23	20	2.9%
30	16	2.3%
28	16	2.3%
24	15	2.2%
21	15	2.2%
20	15	2.2%
22	14	2.0%
34	14	2.0%
25	13	1.9%
19	13	1.9%
32	12	1.8%
29	12	1.8%
58	12	1.8%
15	12	1.8%
18	11	1.6%
40	11	1.6%
16	11	1.6%
26	11	1.6%
17	10	1.5%
14	10	1.5%
43	9	1.3%
27	9	1.3%
42	9	1.3%
41	9	1.3%
31	9	1.3%
Other values (152)	376	55.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	1	0.1%
11	3	0.4%
12	7	1.0%
13	3	0.4%
14	10	1.5%
15	12	1.8%
16	11	1.6%
17	10	1.5%
18	11	1.6%
19	13	1.9%

Value	Count	Frequency (%)
4929	1	0.1%
2946	1	0.1%
1600	1	0.1%
1500	1	0.1%
1050	2	0.3%
960	2	0.3%
950	2	0.3%
850	7	1.0%
844	1	0.1%
794	2	0.3%

TotalProtiens
Real number (ℝ_≥0)

Distinct count	58
Unique (%)	8.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.433187134502925
Minimum	2.7
Maximum	9.6
Zeros	0
Zeros (%)	0.0%
Memory size	5.4 KiB

Quantile statistics

Minimum	2.7
5-th percentile	4.6
Q1	5.7
median	6.5
Q3	7.2
95-th percentile	8.085
Maximum	9.6
Range	6.9
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	1.081344976
Coefficient of variation (CV)	0.1680885312
Kurtosis	0.1222329834
Mean	6.433187135
Median Absolute Deviation (MAD)	0.7
Skewness	-0.2768852305
Sum	4400.3
Variance	1.169306958

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
7	38	5.6%
6.8	37	5.4%
6	35	5.1%
6.2	28	4.1%
6.9	27	3.9%
7.2	26	3.8%
7.1	24	3.5%
7.3	22	3.2%
6.4	21	3.1%
5.5	21	3.1%
8	21	3.1%
5.6	21	3.1%
5.8	19	2.8%
6.1	19	2.8%
6.6	18	2.6%
7.5	18	2.6%
6.7	17	2.5%
6.5	17	2.5%
6.3	17	2.5%
5.9	16	2.3%
5.2	16	2.3%
5.4	15	2.2%
7.4	15	2.2%
7.9	14	2.0%
5	13	1.9%
Other values (33)	149	21.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.7	1	0.1%
2.8	1	0.1%
3	1	0.1%
3.6	3	0.4%
3.7	2	0.3%
3.8	2	0.3%
3.9	3	0.4%
4	3	0.4%
4.1	2	0.3%
4.3	5	0.7%

Value	Count	Frequency (%)
9.6	1	0.1%
9.5	1	0.1%
9.2	2	0.3%
8.9	1	0.1%
8.7	1	0.1%
8.6	3	0.4%
8.5	5	0.7%
8.4	3	0.4%
8.3	3	0.4%
8.2	8	1.2%

Albumin
Real number (ℝ_≥0)

Distinct count	40
Unique (%)	5.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.1178362573099414
Minimum	0.9
Maximum	5.5
Zeros	0
Zeros (%)	0.0%
Memory size	5.4 KiB

Quantile statistics

Minimum	0.9
5-th percentile	1.8
Q1	2.6
median	3.1
Q3	3.7
95-th percentile	4.3
Maximum	5.5
Range	4.6
Interquartile range (IQR)	1.1

Descriptive statistics

Standard deviation	0.7835258352
Coefficient of variation (CV)	0.2513043568
Kurtosis	-0.3794806307
Mean	3.117836257
Median Absolute Deviation (MAD)	0.6
Skewness	-0.04155474107
Sum	2132.6
Variance	0.6139127345

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	56	8.2%
4	39	5.7%
2.9	34	5.0%
3.2	33	4.8%
3.1	33	4.8%
3.9	30	4.4%
2.7	29	4.2%
2.5	28	4.1%
3.3	27	3.9%
2	26	3.8%
3.5	26	3.8%
3.4	25	3.7%
2.6	24	3.5%
3.6	24	3.5%
3.7	24	3.5%
2.8	20	2.9%
2.4	19	2.8%
4.1	18	2.6%
3.8	17	2.5%
2.1	16	2.3%
2.3	15	2.2%
4.3	15	2.2%
1.8	15	2.2%
2.2	14	2.0%
4.2	12	1.8%
Other values (15)	65	9.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.9	2	0.3%
1	1	0.1%
1.4	3	0.4%
1.5	4	0.6%
1.6	11	1.6%
1.7	4	0.6%
1.8	15	2.2%
1.9	8	1.2%
2	26	3.8%
2.1	16	2.3%

Value	Count	Frequency (%)
5.5	2	0.3%
5	1	0.1%
4.9	4	0.6%
4.8	2	0.3%
4.7	3	0.4%
4.6	4	0.6%
4.5	6	0.9%
4.4	10	1.5%
4.3	15	2.2%
4.2	12	1.8%

AlbuminGlobulinRatio
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	13.2 KiB

Selector
Categorical

Distinct count	2
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.4 KiB

1	493
2	191

Value	Count	Frequency (%)
1	493	72.1%
2	191	27.9%

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	2
Unique unicode categories (?)	1
Unique unicode scripts (?)	1
Unique unicode blocks (?)	1

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	493	72.1%
2	191	27.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	684	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	493	72.1%
2	191	27.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	684	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	493	72.1%
2	191	27.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	684	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	493	72.1%
2	191	27.9%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	Id	Age	Gender	TotalBilirubin	DirectBilirubin	AlkphosAlkalinePhosphotase	SgptAlamineAminotransferase	SgotAspartateAminotransferase	TotalProtiens	Albumin	AlbuminGlobulinRatio	Selector
0	1	65	Female	0.7	0.1	187	16	18	6.8	3.3	0.9	1
1	2	62	Male	10.9	5.5	699	64	100	7.5	3.2	0.74	1
2	3	62	Male	7.3	4.1	490	60	68	7.0	3.3	0.89	1
3	4	58	Male	1	0.4	182	14	20	6.8	3.4	1	1
4	5	72	Male	3.9	2	195	27	59	7.3	2.4	0.4	1
5	6	46	Male	1.8	0.7	208	19	14	7.6	4.4	1.3	1
6	7	26	Female	0.9	0.2	154	16	12	7.0	3.5	1	1
7	8	29	Female	0.9	0.3	202	14	11	6.7	3.6	1.1	1
8	9	17	Male	0.9	0.3	202	22	19	7.4	4.1	1.2	2
9	10	55	Male	0.7	0.2	290	53	58	6.8	3.4	1	1

Last rows

	Id	Age	Gender	TotalBilirubin	DirectBilirubin	AlkphosAlkalinePhosphotase	SgptAlamineAminotransferase	SgotAspartateAminotransferase	TotalProtiens	Albumin	AlbuminGlobulinRatio	Selector
674	675	32	Male	3.7	1.6	612	50	88	6.2	1.9	0.4	1
675	676	32	Male	12.1	6	515	48	92	6.6	2.4	0.5	1
676	677	32	Male	25	13.7	560	41	88	7.9	2.5	2.5	1
677	678	32	Male	15	8.2	289	58	80	5.3	2.2	0.7	1
678	679	32	Male	12.7	8.4	190	28	47	5.4	2.6	0.9	1
679	680	60	Male	0.5	0.1	500	20	34	5.9	1.6	0.37	2
680	681	40	Male	0.6	0.1	98	35	31	6.0	3.2	1.1	1
681	682	52	Male	0.8	0.2	245	48	49	6.4	3.2	1	1
682	683	31	Male	1.3	0.5	184	29	32	6.8	3.4	1	1
683	684	38	Male	1	0.3	216	21	24	7.3	4.4	1.5	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows